Furiani-Agliani vs Cannes: result 0-2 and analysis
National 3 - Group DGroup D - 15Kick-off on February 8, 2020 at 02:00 PM (UTC)Stade d'Erbajolo, Bastia
Full time
What was the result of Furiani-Agliani vs Cannes?
Cannes won 0-2 on February 8, 2020.
Goalscorers
- 46′Julien DelétrazCannes
- 90′Willem Pierre-CharlesCannes
What is the recent form of both teams?
Over their last 15 matches in all competitions, Furiani-Agliani have 5 wins, 5 draws and 5 defeats; Cannes have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 25, 2020 | Villefranche SJB(away) | 1-2 | National 3 - Group D |
| Jan 18, 2020 | Côte Bleue(away) | 1-1 | National 3 - Group D |
| Jan 11, 2020 | Istres(home) | 2-1 | National 3 - Group D |
| Nov 30, 2019 | Gémenos(home) | 1-0 | National 3 - Group D |
| Nov 23, 2019 | Balagne(away) | 0-0 | National 3 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 25, 2020 | Nice II(home) | 2-1 | National 3 - Group D |
| Jan 11, 2020 | Ardziv(home) | 2-0 | National 3 - Group D |
| Dec 14, 2019 | Istres(away) | 0-1 | National 3 - Group D |
| Dec 11, 2019 | Mandelieu LN(home) | 0-0 | National 3 - Group D |
| Nov 30, 2019 | Côte Bleue(home) | 0-0 | National 3 - Group D |
What does the head-to-head say?
Across the last 1 meetings: 0 Furiani-Agliani win(s), 1 draw(s), 0 Cannes win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 31, 2019 | Cannes 1-1 Furiani-Agliani | National 3 - Group D |
Last archived meeting: Cannes vs Furiani-Agliani on Aug 31, 2019
How many goals should we expect?
Furiani-Agliani score 1.3 and concede 1.3 goals per match over their last 15; Cannes score 1.2 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Furiani-Agliani | 1.3 | 1.3 | 3 | 10/15 | 6/15 |
| Cannes | 1.2 | 0.9 | 6 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy